John C Malone Professor at @JohnsHopkins @JHUCompSci @jhuclsp @jhumceh; Part time @techatbloomberg (tweets my own) Director @hopkinsdsai @mdredze.bsky.social🦋
Baltimore, MD
Joined August 2012
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Mark Dredze retweeted
This is the last week to apply to our Bloomberg CTO AI Internship Program!
If you are a current graduate student interested in applying cutting edge AI, consider applying!
👉 Apply here: forms.cloud.microsoft/r/ZLC3…
Mark Dredze retweeted
Congratulations to @isabelcachola, @mdredze, and @magmar_11 on their @hcomp_conf Best Paper Award! 🏆 Learn more about their award-winning work: cs.jhu.edu/news/johns-hopkin…
Mark Dredze retweeted
If an LLM agent notices conflicts, will it tell you?
Our #EMNLP2026 Findings paper finds that higher accuracy doesn't always mean greater epistemic humility: agents can spot conflicts early yet leave uncertainty out of wrong answers.
📄 arxiv.org/abs/2610.12360 🧵👇 #NLProc #LLM
Mark Dredze retweeted
How useful is GPT-6 Astra for robot control, really? 🤔
Lin and I burned plenty of tokens to explore questions:
- How does Astra compare with recent VLAs across different tasks?
- Which control interfaces work best with Astra (linear motion vs. action chunking)?
- Can it learn from its own failures or others' demonstrations?
- Does higher reasoning effort (more thinking) improve performance?
- What happens when we remove its memory? (Many VLAs have little or no memory)
Check Ditto-Bench and our findings in the blog post. Full code included! 👇
llong-cs.github.io/llms-for-…
This was a fun analysis led by Lin, one of my first PhD students at JHU. He joined without much robotics experience but quickly produced a thorough benchmark and thoughtful analysis! 💪
GPT-6 Astra has shown impressive results in simple robot control tasks.
But what if the tasks become more challenging and involve complex geometric constraints, precise contact, or improvised tool use? To find out, we:
- Built Ditto-Bench, where simple goals meet challenging physics, and tested both Astra and MolmoAct2.
- Systematically ablated key design choices to understand what makes these robot-control agents succeed, or get stuck.
- Explored what new possibilities these models could open up for robotics, such as in-context learning.
More details 🧵👇
Wow! My students are on a roll! 🧵
In the past month:
🏆 HCOMP Best Paper (@isabelcachola)
🏆 COLM Outstanding Paper (@KaiserWhoLearns @JentseHuang )
🏆 DEX Best Abstract, People’s Choice (Ahmed Hassoon)
🎤 NeurIPS GenAI4Health Oral, top 4% (@YuanCosette)
Details below 👇
Retrieve-then-verify medical fact-checking fails in systematic ways, and bigger models, more reasoning, better sources, and medical fine-tuning don’t fix them.
Mark Dredze retweeted
🥳🥳 Let's go! Yay!!!
Honoured to receive an outstanding paper award for our work! Couldn’t have done it without all my coauthors @KaiserWhoLearns @millicent_li @wordscompute @lltjuatja @JentseHuang and my advisor @gneubig 🫡
Mark Dredze retweeted
Come work with us @JHUCompSci! We're hiring tenure-track faculty in all areas, with a particular focus on
- AI systems
- AI safety and security
- AI reasoning and alignment
- AI ethics, policy, and governance
apply.interfolio.com/194231
(DMs are open if you have any questions)
Mark Dredze retweeted
So pleasant and honored to received the award!!! Can't make it to #COLM2026 this year, but please go to @_emliu 's oral session for this exciting project!
Honoured to receive an outstanding paper award for our work! Couldn’t have done it without all my coauthors @KaiserWhoLearns @millicent_li @wordscompute @lltjuatja @JentseHuang and my advisor @gneubig 🫡
Mark Dredze retweeted
We’re excited to announce the inaugural Human–AI Interaction Conference (HAIC 2027), taking place June 27–30, 2027, in Washington, DC (CFP coming soon at haic.cc). HAIC focuses on translational impact, turning human–AI research into meaningful real-world impact.
Mark Dredze retweeted
Want to use multimodal models to analyze social constructs such as emotion, topics, or framing in short-form videos, but don’t know how well it works, whether your conclusions will be valid, and how costs might scale?
Check out our new paper, to appear at AACL main!
Mark Dredze retweeted
Our CTO #DataScience Speaker Series welcomes 2025 Karen Spärck Jones (KSJ) Award recipient @andrewyates of @JohnsHopkins' HLTCOE to our Engineering office in NY today to talk with our #AI researchers about learned sparse retrieval
bloom.bg/4jqvw9E
#InformationRetrieval
ALT Andrew Yates is a Senior Research Scientist with the Human Language Technology Center of Excellence at Johns Hopkins University.
Mark Dredze retweeted
The first cohort of the AGI Governance Fellowship, on their last day at @JHUBloombergCtr after they presented their group projects. Three weeks of hard questions on the institutions we'll need for powerful AI, and I could not have asked for a better group. Thank you to the fellows, @sethlazar, @nickacaputo and everyone who joined us.
Mark Dredze retweeted
Letting evaluators into AI labs isn't oversight when the lab picks them, sets their access and can show them the door. To do the job right, evaluators need serious oversight. Who decides they're qualified? What keeps them independent? What happens if they do the job badly? My comments in @jasminewsun's piece. buff.ly/VV0vM28